Average Reviews:
(More customer reviews)I took my first short course in response surface designs from Ray Myers at an IPE course. He was a great teacher and taught out of his first book. That book was self-published after he had disagreements with his original publisher. Many years later he and Doug Montgomery joined forces and published the first edition of this book with Wiley. I have reviewed that book previously for amazon.
This second edition is ideal. When I took the course I understood the material so well that I was able to apply the methodology right away in my work. The clarity of these authors is outstanding and they provide a wealth of well illustrated examples. It also is greatly expanded and has many student exercises at the end of each chapter. In addition to the standard response surface designs the book does a good job of coevring experimental design concepts in general and even covers Taguchi designs and robust parameter design. In addition topics such as mixture experiments and evolutionary operation are covered. Advanced topics include the generalized linear models and the general estimating equations approach to mixed effects models and repeated measures ANOVA.
Very authoritative with an extensive list of references and appendices to aid understanding.
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Praise for the Second Edition:
"This book [is for] anyone who would like a good, solid understanding of response surface methodology. The book is easy to read, easy to understand, and very applicable. The examples are excellent and facilitate learning of the concepts and methods."—Journal of Quality Technology
Complete with updates that capture the important advances in the field of experimental design, Response Surface Methodology, Third Edition successfully provides a basic foundation for understanding and implementing response surface methodology (RSM) in modern applications. The book continues to outline the essential statistical experimental design fundamentals, regression modeling techniques, and elementary optimization methods that are needed to fit a response surface model from experimental data. With its wealth of new examples and use of the most up-to-date software packages, this book serves as a complete and modern introduction to RSM and its uses across scientific and industrial research.
This new edition maintains its accessible approach to RSM, with coverage of classical and modern response surface designs. Numerous new developments in RSM are also treated in full, including optimal designs for RSM, robust design, methods for design evaluation, and experiments with restrictions on randomization as well as the expanded integration of these concepts into computer software. Additional features of the Third Edition include:
Inclusion of split-plot designs in discussion of two-level factorial designs, two-level fractional factorial designs, steepest ascent, and second-order models
A new section on the Hoke design for second-order response surfaces
New material on experiments with computer models
Updated optimization techniques useful in RSM, including multiple responses
Thorough treatment of presented examples and experiments using JMP® 7, Design-Expert® Version 7, and SAS® software packages
Revised and new exercises at the end of each chapter
An extensive references section, directing the reader to the most current RSM research
Assuming only a fundamental background in statistical models and matrix algebra, Response Surface Methodology, Third Edition is an ideal book for statistics, engineering, and physical sciences courses at the upper-undergraduate and graduate levels. It is also a valuable reference for applied statisticians and practicing engineers.
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